Type of the submission required

This is an INDIVIDUAL piece of work contributing towards the module assessment. Deliverables should be assembled into a single report document, which includes (critical analysis, research, and snapshot evidence of tasks carried out and justification of design methods and technologies used). Submission will be in the form of an MS word report (4000 words).

Case Study

Global Entertainments (GE) is an entertainment company established in 1995 which has grown into a company with a turnover of £10million. Its headquarters is in Slough, where the company was originally founded. There are also regional offices in London, New York and Singapore. GE maintains a centralised database in Slough which supports a number of transaction processing systems. Recently the management team focussed its attention on improving the decision-making capabilities of the organisation. In particular they wanted to provide regional managers with information and insights into existing data to enable more efficient decision making. At present, the database (RDBMS) is updated continually throughout the day. For example, entertainment products (online film streaming/DVDs) are constantly requested by the customers and the online transaction processing system records and updates inventory records accordingly.

During the sales/promotions phase, regional managers often need online analysis reports to monitor sales performance in order to rectify actions for any deviations in performance. They also need timely analysis reports to assist in making long-term decisions. Currently, a great deal of effort is spent on collecting data from various systems before any analysis can be undertaken. Managers want and need more information, but analysts can provide only minimal information at a high cost within the desired timeframes. It is clear that in order to provide the necessary information more efficiently, there is a need to move the IT infrastructure to a cloud environment and use big data for this purpose. However, there is

a concern that this will cause some issues with security.

You have been hired as a Big Data Cloud Engineer to migrate the company’s centralised database (RDBMS) to Big Data in the Cloud and identify security vulnerabilities and potential security threats caused by migrating the company’s data to cloud and big data environments. You should also suggest ways of protecting the company from these dangers.

Section A (60%) – suggested word limit for this section is 2800 words

Tasks:

1. Discuss and analyse the principles of Big Data in the Cloud – how this methodology can be helpful for Global Entertainments (GE) (case study) – Suggested word limit for this task is 1000 words [Marks 20]

• Critically evaluate and discuss the security risks within IAAS, PAAS and SAAS and decide which one is more suitable and secure for Global Entertainments (GE) (case study) – Suggested word limit for this task is 1000 words [Marks 15] 

• Critically evaluate and discuss Big Data frameworks in the cloud and how your discussed frameworks counter measure security concerns raised during GE investigations – Suggested word limit for this task is 800 words [Marks 15]

• 4.  Produce a high-level infrastructure diagram to support GE data migration project (your diagram should show the tools/solutions) [Marks 10]

Section B (40%) – Implementation – suggested word limit for this section is 1200 words

Tasks:

1. Create a Big Data Project in the Cloud environment by migrating existing databases into Big Data in the Cloud environment based on the features chosen for Global Entertainments (GE) (section A) [Marks 10]

• Using the appropriate tools/software demonstrate security controls used for the above Big Data project [Marks 10]

• Design a data driven dashboard using cloud-based technologies which can support Global Entertainments (GE) management to oversee travel bookings and other relevant data security insights [Marks 10]

• Discuss which professional practices can help the Global Entertainments (GE)  to comply with relevant legal, ethical and social issues within the Cloud and Big data environment.

Suggested word limit for this task is 1200 words [Marks 10]

THIS IS HOW I WANT YOU TO ANSWER THE QUESTIONS. PLEASE LEAVE THE HEADINGS AND PUT THE SOLUTIONS UNDER THEM. DO THEM IN PARAGRAPHS

FOR EXAMPLE PUT TASK ONE SOLUTION UNDER TASK ONE IN THE SAME FORMAT IT APPEARS. I WANT TO SEE SOLUTION OF TASK ONE (a) principle of big data in cloud

1. Cover Page
2. Introduction
   1. Background
   2. Case study
   3. Solution/Aim
      1. (Every task must be linked to the case study otherwise it becomes generic)

Section A

3. Task One
   1. Principles of big data in the cloud
      1. Speed/Velocity of data
      2. Volume of data
      3. Variety
   2. Write its relation to big data
      1. (Every task must be linked to the case study otherwise it becomes generic)
4. Task Two
   1. IAAS
      1. What is it?
      2. Discuss the security risk with the model

4. Recommendation
   1. Go online and find solutions for entertainment companies for cloud. Netflix can be a case study.
5. Task 3 (Hadoop is  avery good tool in big data)
   1. Hadoop Framework
      1. What is the Hadoop ecosystem (Include a visual when explaining the 3 main frame work)
         1. Hyve
         2. HDFS
         3. Map Reduce
         4. Pig
         5. Sqoop
         6. Hbase
   2. Mitigation of risk using Hadoop
6. Task 4
   1. Produce a high level diagram of how the migration process happens
      1. If you want to score the full marks you must do it yourself. Use draw.io to design a diagram depicting data flow. You can google aws migration roadmap to see how it’s done.

SECTION B

7. Task 1
   1. Create a project on AWS
   2. Create an account
   3. Create a storage
   4. Create an AMI
   5. Host a website on the cloud
   6. Create a user on the cloud – They’re all screenshots with one line describing what is going on
8. Task 2
   1. Use some of the security features in AWS
      1. IAM in AWS Multi Factor Authentication
      2. PuttyGen
      3. Access control
9. Task 3
   1. Create a data driven dashboard and create visuals
10. Task 4
    1. Legal, ethical and social issues within the Cloud and Big Data environment.
    2. Less security visibility
    3. Availability zones and regions in AWS
    4. Data ownership

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